Data Science & ML Agent Skills

PyTorch Geometric (PyG)

Develops and trains Graph Neural Networks (GNNs) using the PyTorch Geometric library for irregular data structures and geometric deep learning.

Data Analysis Expert

Performs SQL data analysis, identifies trends, and generates comprehensive business intelligence reports directly within your workspace.

Academic Paper Finder

Streamlines academic literature reviews by discovering, ranking, and processing research papers from top scientific venues.

KEGG Database Connector

Provides direct access to the KEGG REST API for biological pathway analysis, gene mapping, and metabolic research.

PyTorch Lightning

Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.

ETE Phylogenetic Toolkit

Provides comprehensive tools for phylogenetic tree manipulation, evolutionary analysis, and high-quality biological data visualization.

Scientific Critical Thinking

Evaluates scientific research rigor and evidence quality using standardized frameworks like GRADE and Cochrane.

Python Project Structure Refactor

Transforms monolithic Python research code and notebooks into modular, production-ready package structures.

SimPy Simulation Engine

Builds process-based discrete-event simulations in Python to model complex systems with resource contention and time-based events.

Embedding & Chunking Strategies

Optimizes vector search and RAG applications through intelligent embedding model selection and advanced document chunking strategies.

R Survival Analysis Patterns

Implements comprehensive survival analysis workflows in R using tidy and traditional biostatistical frameworks.

PennyLane Quantum Machine Learning

Builds, trains, and optimizes hybrid quantum-classical models using automatic differentiation and hardware-agnostic circuit programming.

Advanced Adaptive Clinical Trial Designs

Implements and simulates complex adaptive clinical trial designs using industry-standard R packages like adaptr, rpact, and RBesT.

Aeon Time Series ML

Empowers Claude to perform advanced time series machine learning, including classification, forecasting, and anomaly detection using the specialized aeon toolkit.

DBT Semantic Query Expert

Translates natural language into precise DBT semantic layer queries with automated filtering, visualization, and context-aware data exploration.

Zarr Python Data Storage

Manages large-scale N-dimensional arrays with chunked storage, compression, and seamless cloud integration for scientific computing pipelines.

PubMed Research Assistant

Accesses and queries the PubMed database for biomedical literature, systematic reviews, and citation management.

Tidy ITC Analysis Workflow

Standardizes Indirect Treatment Comparison (ITC) analyses in R using tidy modeling principles and reproducible workflow patterns.

Data Visualization Expert

Transforms raw data into validated Vega-Lite charts with intelligent type recommendation and automated configuration.

Spark Optimization

Optimizes Apache Spark performance through advanced partitioning, memory tuning, and shuffle management strategies.

LLM Evaluation & Benchmarking

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human-in-the-loop feedback, and A/B testing.

Vector Index Tuning

Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search applications.

LangChain Architecture

Architects sophisticated LLM applications using agents, memory, and tool integration within the LangChain framework.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.

Quantitative Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.

Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

Hybrid Search Implementation

Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.

Similarity Search Patterns

Implements efficient semantic search and vector database patterns for production-grade retrieval systems.

Research Paper Finder

Discovers, prioritizes, and manages academic research papers for systematic literature reviews and methodology research.